electricsheepeurope/europe-ilo-sdg-0131-sex-soc-rt-sdg-indicator-1-3-1-proportion-of-population-cover

SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems | Europe (ILOSTAT)

🇪🇺 2,540 observations · 43 Europe countries · 2000–2023 · Repackaged by Electric Sheep Europe

TL;DR

This dataset contains 2,540 observations of Social protection data across 43 Europe countries, spanning 2000–2023, covering 1 distinct indicators.

About the source

ILOSTAT is the ILO's central statistics database, the leading global source for labour statistics. It compiles indicators across employment, unemployment, wages, working time, child labour, informal economy, social protection, occupational injuries, and SDG decent work targets — drawing on national labour force surveys, household income surveys, establishment surveys, and administrative records. Coverage spans 200+ economies, with the ILO's Department of Statistics responsible for harmonisation.

• Source: ILOSTAT
• Publisher: International Labour Organization (ILO)
• License: cc-by-4.0
• Topic: Social protection

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=SDG_0131_SEX_SOC_RT and filtered to Europe ISO3 country codes. ILOSTAT harmonises raw survey microdata using ICLS (International Conference of Labour Statisticians) definitions; sources are flagged in the source.label column for traceability.

Geographic coverage

43 Europe countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
FRA	96	2000	2022
BEL	95	2000	2022
DEU	94	2000	2022
FIN	94	2000	2022
DNK	84	2000	2023
LVA	80	2000	2022
SWE	79	2000	2022
AUT	78	2000	2022
NLD	77	2000	2022
LUX	76	2000	2022
CHE	75	2000	2021
EST	75	2000	2022
IRL	74	2000	2022
HUN	74	2000	2022
ESP	73	2000	2022
...	28 more countries

Indicators (sample)

• SDG_0131_SEX_SOC_RT — SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems by sex and function (%)

Schema

Column	Type	Description	Example
ref_area	string	ISO 3166-1 alpha-3 country code	ALB
ref_area.label	string	Country name in English	Albania
source	string	ILOSTAT source code (e.g. labour force survey)	XA:6547
source.label	string	Source name in English	ILO - Social Security Inquiry Database
indicator	string	ILOSTAT indicator code	SDG_0131_SEX_SOC_RT
indicator.label	string	Indicator name in English	SDG indicator 1.3.1 - Proportion of p…
sex	string	Disaggregation by sex (SEX_T = total, SEX_M = male, SEX_F = female)	SEX_T
sex.label	string	—	Total
classif1	string	First classification variable (age, education, status, etc.)	SOC_CONTIG_TOTAL
classif1.label	string	—	Function: Population covered by at le…
time	int64	Observation year	2021
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	78.1
obs_status	string	Observation status flag (e.g. provisional, unreliable)	—
obs_status.label	string	—	—
note_classif	string	—	C15:6326
note_classif.label	string	—	Social security coverage: Estimated b…

Disaggregation dimensions

The following columns provide disaggregation dimensions:

• sex (3 unique values): SEX_T, SEX_M, SEX_F

Data quality & caveats

• Data is annual frequency. Some indicators also publish monthly or quarterly series — those are not included here.
• When an indicator has multiple sources for the same country×year, the ILO-selected 'best source' is used.
• Disaggregation columns (sex, classif1, classif2) are non-null only when the indicator publishes that breakdown.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-ilo-sdg-0131-sex-soc-rt-sdg-indicator-1-3-1-proportion-of-population-cover")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

germany = df[df["ref_area"] == "DEU"]

Time-series for a single indicator

sample = (df[df["indicator"] == "SDG_0131_SEX_SOC_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="SDG_0131_SEX_SOC_RT")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "SDG_0131_SEX_SOC_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{europe_ilo_sdg_0131_sex_soc_rt_sdg_indicator_1_3_1_proportion_of_population_cover_2023,
  title        = {SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems | Europe (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2023},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0131_SEX_SOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-sdg-0131-sex-soc-rt-sdg-indicator-1-3-1-proportion-of-population-cover}}
}

License

Released under cc-by-4.0.

Original data © International Labour Organization (ILO). When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepeurope

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Provenance: ingested 2026-05-25 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0131_SEX_SOC_RT